文献类型：期刊文献

英文题名：ORGANIC CARBON STORAGE AND ITS ALLOCATION CHARACTERISTICS IN THE OIL TREE CAMELLIA OLEIFERA ECOSYSTEM IN LONGCHUAN, GUANGDONG, CHINA

作者：Cui, Zhiyi[1,2] Deng, Xiaomei[1] Xi, Ruchun[1] Xu, Daping[2] Li, Ruiping[1] Hu, Jiaxin[1] Zhu, Wen[1] Xu, Yilin[1] Jiao, Jinfeng[1]

第一作者：Cui, Zhiyi;崔之益

通信作者：Xi, RC[1]

机构：[1]South China Agr Univ, Coll Forestry & Landscape Architecture, Guangzhou 510642, Guangdong, Peoples R China;[2]Chinese Acad Forestry, Res Inst Trop Forestry, Guangzhou 510520, Guangdong, Peoples R China

年份：2016

卷号：25

期号：6

起止页码：2166-2173

外文期刊名：FRESENIUS ENVIRONMENTAL BULLETIN

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000379797800046)】；

基金：This study was supported by National Natural Science Foundation of China (grant no.s. 31470026 and 30872052). We thank Dr. Khongsak Pinyopusarerk of Black Mountain Laboratories of CSIRO Plant Industry, Australia for English proof. Special thanks were given to the editors of Fresenius Environmental Bulletin (FEB) and anonymous reviewers for constructive suggestions and comments.

语种：英文

外文关键词：Camellia forest ecosystem; biomass model; carbon pool; carbon storage; non-timber forests

摘要：Little information on carbon storage in the ecosystem of Camellia oleifera (CAM), an economically important plant in China, is available. CAM ecosystem carbon storage and its allocation characteristics were studied by a biomass linear regression model in this paper. The results showed that the correlation coefficients of the biomass regression models of CAM components were high enough for biomass estimation. The carbon pool in the CAM ecosystem (50 years old) was 99 Mg C ha(-1), in which soil organic carbon (0-100 cm deep) was 88 Mg C ha(-1) (89.2%) and carbon of the vegetation was 10.7 Mg C ha(-1) (10.8%). The carbon content of each CAM component was 43.8% in bud, 46.8% in root, 48.3% in branch, 48.9% in trunk, 49.8% in leaf, and 51.8% in fruit. The order of carbon allocation in tree components of was: trunk > root > branch > leaf > fruit > bud. Diameter class of 5-7 cm was the critical value of CAM tree number in Guangdong. The carbon pool of diameter classes over 11-13 cm diameter tended to be stable. Thus, allometric models were very suitable for the determination of the biomass of CAM forests. It is necessary to determine the carbon content of each tree component respectively. The carbon pool of CAM forest is between the means of non-timber forest and shrubbery in Guangdong. There is less litter fall and infrequent soil microbial activity in CAM forest compared with other timber forests. Overall, our study provided basic data for the future study of CAM ecosystem carbon storage and a methodology for CAM and other non-timber forests' carbon storage.